* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’ * installing *source* package ‘bestridge’ ... ** package ‘bestridge’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-8) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprnCpJ1/R.INSTALL271e8751be53d/bestridge/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Algorithm.cpp -o Algorithm.o In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25, from Data.h:9, from Algorithm.h:11, from Algorithm.cpp:5: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits<Packet4f> { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits<Packet2d> { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) { | ^ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’ 266 | Alignment = internal::traits<Coefficients>::Alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits<Quaternion<float> >::Alignment | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’ 273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> > | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’ 266 | Alignment = internal::traits<Coefficients>::Alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits<Quaternion<double> >::Alignment | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’ 273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> > | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet<double> T; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’ 178 | class Matrix | ^~~~~~ Data.h:25:21: required from here 25 | Eigen::MatrixXd x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’ 178 | class Matrix | ^~~~~~ Data.h:25:21: required from here 25 | Eigen::MatrixXd x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’ 178 | class Matrix | ^~~~~~ Data.h:26:21: required from here 26 | Eigen::VectorXd y; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ Data.h:51:45: required from here 51 | this->x_mean = Eigen::VectorXd::Zero(this->p); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ Data.h:74:24: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’ 178 | class Matrix | ^~~~~~ Algorithm.h:135:62: required from here 135 | train_x.row(i) = data.x.row(this->train_mask(i)).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ Algorithm.h:145:48: required from here 145 | Eigen::MatrixXd X_A = Eigen::MatrixXd::Zero(train_n, T0); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:248:55: required from here 248 | Eigen::VectorXd coef = Eigen::VectorXd::Ones(n) * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:248:55: required from here 248 | Eigen::VectorXd coef = Eigen::VectorXd::Ones(n) * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:249:37: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:249:51: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:249:51: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:249:58: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:249:62: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:250:33: required from here 250 | Eigen::VectorXd bd = beta + d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:251:21: required from here 251 | bd = bd.cwiseAbs(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:259:22: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:259:27: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ Algorithm.h:259:77: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:259:96: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:259:96: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:259:96: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:259:141: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:259:126: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ Algorithm.h:281:18: required from here 281 | X.rightCols(n - 1) = x.leftCols(n - 1); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:284:40: required from here 284 | Eigen::VectorXd log_Pi = Pi.array().log(); | ~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:284:46: required from here 284 | Eigen::VectorXd log_Pi = Pi.array().log(); | ~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:285:41: required from here 285 | Eigen::VectorXd log_1_Pi = (one - Pi).array().log(); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:285:50: required from here 285 | Eigen::VectorXd log_1_Pi = (one - Pi).array().log(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:285:56: required from here 285 | Eigen::VectorXd log_1_Pi = (one - Pi).array().log(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:286:39: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:286:72: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:286:81: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:287:42: required from here 287 | Eigen::VectorXd W = Pi.cwiseProduct(one - Pi); | ~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:288:61: required from here 288 | Eigen::VectorXd Z = X * beta0 + (y - Pi).cwiseQuotient(W); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:288:63: required from here 288 | Eigen::VectorXd Z = X * beta0 + (y - Pi).cwiseQuotient(W); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:294:36: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:294:72: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:294:51: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:399:44: required from here 399 | Eigen::VectorXd xbeta_exp = X * beta + coef; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:408:38: required from here 408 | xbeta_exp = xbeta_exp.array().exp(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:409:69: required from here 409 | Eigen::VectorXd pr = xbeta_exp.array() / (xbeta_exp + one).array(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:409:70: required from here 409 | Eigen::VectorXd pr = xbeta_exp.array() / (xbeta_exp + one).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:410:37: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:411:16: required from here 411 | X = X.array().square(); | ~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:411:25: required from here 411 | X = X.array().square(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:412:83: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:413:42: required from here 413 | Eigen::VectorXd d = -l1.cwiseQuotient(l2); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:413:45: required from here 413 | Eigen::VectorXd d = -l1.cwiseQuotient(l2); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:414:29: required from here 414 | bd = (beta + d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:414:57: required from here 414 | bd = (beta + d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:414:44: required from here 414 | bd = (beta + d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ Algorithm.h:440:15: required from here 440 | beta0.tail(p) = beta; | ~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ Algorithm.h:452:17: required from here 452 | temp.col(i) = X_trans.col(i) * expeta(i) * weights(i); | ~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:452:48: required from here 452 | temp.col(i) = X_trans.col(i) * expeta(i) * weights(i); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:452:61: required from here 452 | temp.col(i) = X_trans.col(i) * expeta(i) * weights(i); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:454:50: required from here 454 | z = eta + (y - expeta).cwiseQuotient(expeta); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:455:23: required from here 455 | beta0 = (temp * X).ldlt().solve(temp * z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:455:38: required from here 455 | beta0 = (temp * X).ldlt().solve(temp * z); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:465:40: required from here 465 | loglik1 = (y.cwiseProduct(eta) - expeta).dot(weights); | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:508:50: required from here 508 | bd = h.cwiseProduct((beta - g.cwiseQuotient(h)).cwiseAbs2()); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:508:62: required from here 508 | bd = h.cwiseProduct((beta - g.cwiseQuotient(h)).cwiseAbs2()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:508:24: required from here 508 | bd = h.cwiseProduct((beta - g.cwiseQuotient(h)).cwiseAbs2()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>’ 61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:561:51: required from here 561 | x_theta = X.array().colwise() * theta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:561:51: required from here 561 | x_theta = X.array().colwise() * theta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:563:61: required from here 563 | x_theta = x_theta.array().colwise() / cum_theta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:564:16: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:564:34: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:570:42: required from here 570 | xij_theta = (theta.cwiseProduct(X.col(k1))).cwiseProduct(X.col(k2)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:570:67: required from here 570 | xij_theta = (theta.cwiseProduct(X.col(k1))).cwiseProduct(X.col(k2)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:575:90: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:575:106: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:579:25: required from here 579 | d = h.ldlt().solve(g); | ~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:580:38: required from here 580 | beta1 = beta0 - pow(step, m) * d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:580:38: required from here 580 | beta1 = beta0 - pow(step, m) * d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:613:49: required from here 613 | theta = weights.array() * theta.array().exp(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:629:55: required from here 629 | xtheta.row(k) = xtheta.row(k + 1) + xtheta.row(k); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:637:50: required from here 637 | xtheta.col(k) = xtheta.col(k).cwiseQuotient(cum_theta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:643:63: required from here 643 | x2theta = x2theta.array() - xtheta.array().square().array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:644:39: required from here 644 | xtheta = X.array() - xtheta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:650:30: required from here 650 | l1 = -xtheta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:657:25: required from here 657 | bd = bd.cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:658:27: required from here 658 | bd = bd.array().square(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:683:60: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:683:72: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:683:101: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:683:144: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:684:72: required from here 684 | Eigen::VectorXd bd = sqrt(1.0 + 2.0 * this->lambda_level) * beta + d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:685:22: required from here 685 | bd = bd.cwiseAbs2(); | ~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:735:39: required from here 735 | beta1 = (2 * this->lambda_level * lambdamat + X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:735:71: required from here 735 | beta1 = (2 * this->lambda_level * lambdamat + X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:789:101: required from here 789 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)) + 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:791:147: required from here 791 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)) + 2 * this->lambda_level * Eigen::MatrixXd::Ones(p, 1); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:791:147: required from here 791 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)) + 2 * this->lambda_level * Eigen::MatrixXd::Ones(p, 1); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:836:60: required from here 836 | beta0 = (2 * this->lambda_level * lambdamat + temp * X).ldlt().solve(temp * z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:962:47: required from here 962 | x_theta.col(i) = X.col(i).cwiseProduct(expeta); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:972:97: required from here 972 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)) + 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:986:36: required from here 986 | h = h + this->lambda_level * lambdamat; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1074:65: required from here 1074 | l1 = -xtheta.adjoint() * weights + 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1075:91: required from here 1075 | l2 = x2theta.adjoint() * weights + 2 * this->lambda_level * Eigen::MatrixXd::Ones(p, 1); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:1116:83: required from here 1116 | betabar.segment(index(i), gsize(i)) = phiG * beta.segment(index(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1223:28: required from here 1223 | eta = X * beta + one * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1223:28: required from here 1223 | eta = X * beta + one * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1234:42: required from here 1234 | g = weights.array() * (y - pr).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1235:36: required from here 1235 | h = weights.array() * pr.array() * (one - pr).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1235:57: required from here 1235 | h = weights.array() * pr.array() * (one - pr).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1236:54: required from here 1236 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1246:126: required from here 1246 | Eigen::MatrixXd XGbar = XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > >’ 50 | template<typename Derived> class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:316:34: required from ‘class Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> >’ 316 | template<typename Derived> class MatrixSquareRootReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:1248:17: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:1249:50: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1338:49: required from here 1338 | eta = X * beta + Eigen::VectorXd::Ones(n) * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1348:58: required from here 1348 | XG_new.row(j) = XG.row(j) * expeta(j) * weights(j); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>’ 61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate | ^~~~~~~~~ Algorithm.h:1535:32: required from here 1535 | h = -cum_theta3.replicate(1, n); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:1535:37: required from here 1535 | h = -cum_theta3.replicate(1, n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1536:25: required from here 1536 | h = h.cwiseProduct(theta.replicate(1, n)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:1537:57: required from here 1537 | h = h.cwiseProduct(theta.replicate(1, n).transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1537:25: required from here 1537 | h = h.cwiseProduct(theta.replicate(1, n).transpose()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ Algorithm.h:1545:17: required from here 1545 | h.diagonal() = cum_theta2.cwiseProduct(theta) + h.diagonal(); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1545:66: required from here 1545 | h.diagonal() = cum_theta2.cwiseProduct(theta) + h.diagonal(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1546:66: required from here 1546 | g = weights.cwiseProduct(y) - cum_theta2.cwiseProduct(theta); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:1551:54: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ Algorithm.h:1122:61: required from here 1122 | bd(i) = (temp.segment(index(i), gsize(i))).squaredNorm() / gsize(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:286:87: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:465:51: required from here 465 | loglik1 = (y.cwiseProduct(eta) - expeta).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:500:22: required from here 500 | g(i) = -res.dot(X.col(i)); | ~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:575:112: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:24: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ Algorithm.h:1122:61: required from here 1122 | bd(i) = (temp.segment(index(i), gsize(i))).squaredNorm() / gsize(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Data.h:128:52: required from here 128 | return -2 * log(0.5) * this->weight.sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 352 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:500:22: required from here 500 | g(i) = -res.dot(X.col(i)); | ~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:1070:48: required from here 1070 | xtheta.row(k) = Eigen::VectorXd::Zero(p); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >’ 50 | template<typename Derived> class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >’ 339 | template<typename MatrixType> struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ Data.h:124:39: required from here 124 | return this->y.squaredNorm() / double(this->n); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 45 | VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1); | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 127 | Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols()); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 128 | Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols()); | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]’ 145 | return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator<ArrayWrapper<TArgType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator<ArrayWrapper<TArgType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ Algorithm.h:1122:61: required from here 1122 | bd(i) = (temp.segment(index(i), gsize(i))).squaredNorm() / gsize(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 3, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:25:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 25 | Matrix<Scalar,2,2> block = T.template block<2,2>(i,i); | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:25:51: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 25 | Matrix<Scalar,2,2> block = T.template block<2,2>(i,i); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:229:22: required from ‘class Eigen::RealSchur<Eigen::Matrix<double, 2, 2> >’ 229 | ColumnVectorType m_workspaceVector; | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver<Eigen::Matrix<double, 2, 2> >’ 316 | RealSchur<MatrixType> m_realSchur; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:27:28: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 27 | sqrtT.template block<2,2>(i,i) | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:105: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:40: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:60:49: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 60 | Matrix<Scalar,2,1> rhs = T.template block<2,1>(i,j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:73: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 63 | Matrix<Scalar,2,2> A = sqrtT.coeff(j,j) * Matrix<Scalar,2,2>::Identity(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 63 | Matrix<Scalar,2,2> A = sqrtT.coeff(j,j) * Matrix<Scalar,2,2>::Identity(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 63 | Matrix<Scalar,2,2> A = sqrtT.coeff(j,j) * Matrix<Scalar,2,2>::Identity(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:28: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:55: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:47:49: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 47 | Matrix<Scalar,1,2> rhs = T.template block<1,2>(i,j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:51:48: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 51 | A += sqrtT.template block<2,2>(j,j).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:28: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:81: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:67: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:49: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 38 | Scalar tmp = (sqrtT.row(i).segment(i+1,j-i-1) * sqrtT.col(j).segment(i+1,j-i-1)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:286:87: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:337:24: required from here 337 | X.rightCols(p) = x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:465:51: required from here 465 | loglik1 = (y.cwiseProduct(eta) - expeta).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:500:22: required from here 500 | g(i) = -res.dot(X.col(i)); | ~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:575:112: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, 2, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:23: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 73 | Matrix<Scalar,4,4> coeffMatrix = Matrix<Scalar,4,4>::Zero(); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 73 | Matrix<Scalar,4,4> coeffMatrix = Matrix<Scalar,4,4>::Zero(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:41: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 94 | result = coeffMatrix.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’ 501 | return maxCoeff<PropagateFast>(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 501 | return maxCoeff<PropagateFast>(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’ 178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 2, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:455:47: required from here 455 | beta0 = (temp * X).ldlt().solve(temp * z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:579:27: required from here 579 | d = h.ldlt().solve(g); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >’ 50 | template<typename Derived> class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >’ 339 | template<typename MatrixType> struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = std::complex<double>]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:23: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’ 466 | return maxCoeff<PropagateFast>(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 511 | RealScalar threshold_helper = numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 466 | return maxCoeff<PropagateFast>(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:54: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 2>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:281:10: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 281 | m_matT *= scale; | ~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 525 | m_matT.col(n).tail(size-i) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit, | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 2, 2>; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:28: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Derived = Eigen::Matrix<double, 2, 2>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:64:5: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 64 | A += sqrtT.template block<2,2>(i,i); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:89: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 38 | Scalar tmp = (sqrtT.row(i).segment(i+1,j-i-1) * sqrtT.col(j).segment(i+1,j-i-1)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:89: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 38 | Scalar tmp = (sqrtT.row(i).segment(i+1,j-i-1) * sqrtT.col(j).segment(i+1,j-i-1)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’ 94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Derived = Eigen::Matrix<double, 2, 2>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:25:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 25 | Matrix<Scalar,2,2> block = T.template block<2,2>(i,i); | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; MatrixType = Eigen::Matrix<double, 2, 2>; CoeffVectorType = Eigen::Matrix<double, 1, 1, 0, 1, 1>; VectorType = Eigen::Matrix<double, 1, 2>]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:60:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 60 | Matrix<Scalar,2,1> rhs = T.template block<2,1>(i,j); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, 2>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Derived = Eigen::Matrix<double, 1, 2>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:47:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 47 | Matrix<Scalar,1,2> rhs = T.template block<1,2>(i,j); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket<RhsPacket> RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket<RhsPacket> RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket<RhsPacket> RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’ 94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’ 94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >, Eigen::internal::IndexBased, std::complex<double> >’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >; Functor = assign_op<std::complex<double>, std::complex<double> >]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >; Functor = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:23: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 6]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock<HalfPacket> kernel_half; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock<QuarterPacket> kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:1116:83: required from here 1116 | betabar.segment(index(i), gsize(i)) = phiG * beta.segment(index(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, -1, 4, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’ 478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:650:30: required from here 650 | l1 = -xtheta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:652:30: required from here 652 | l2 = x2theta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit, | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, 2, 2>; Workspace = Eigen::Matrix<double, 2, 1>; VectorsType = Eigen::Matrix<double, 2, 2>; CoeffsType = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 2, 2>; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix<Scalar, Index, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | Mode, LhsIsTriangular, | ~~~~~~~~~~~~~~~~~~~~~~ 440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix<Scalar, Index, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | Mode, LhsIsTriangular, | ~~~~~~~~~~~~~~~~~~~~~~ 440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Functor = swap_assign_op<double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Func = swap_assign_op<double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:547:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Functor = swap_assign_op<double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Func = swap_assign_op<double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:551:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Functor = div_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Func = div_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 1>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 1>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:762:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]’ 71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs; | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 1, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<RhsScalar, LhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 40 | general_matrix_matrix_product<Index, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | RhsScalar, RhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateRhs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | LhsScalar, LhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateLhs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | ColMajor,ResInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~ 44 | ::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking,info); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits<Packet>::half HalfPacket; | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size}; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:650:30: required from here 650 | l1 = -xtheta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:652:30: required from here 652 | l2 = x2theta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:1236:54: required from here 1236 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 2, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, 2, 2>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, 2, 2>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 4, 1>; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 4, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1, 0, 4, 1>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, 2, 2>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, 2, 2>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 2, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 2, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 2, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, 2, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, 2, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, 2, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:33: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 94 | result = coeffMatrix.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = swap_assign_op<double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = swap_assign_op<double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1109:100: required from here 1109 | Eigen::VectorXd d = X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | <Index,Mode, | ~~~~~~~~~~~~ 329 | LhsScalar, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | RhsScalar, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 331 | RowMajor> | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 1>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:1236:54: required from here 1236 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 0, -1, 2>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 0, -1, 2>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:33: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 94 | result = coeffMatrix.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1, 0, 4, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1, 0, 4, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1109:100: required from here 1109 | Eigen::VectorXd d = X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>; Rhs = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Data.cpp -o Data.o In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25, from Data.h:9, from Data.cpp:5: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits<Packet4f> { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits<Packet2d> { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) { | ^ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’ 266 | Alignment = internal::traits<Coefficients>::Alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits<Quaternion<float> >::Alignment | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’ 273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> > | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’ 266 | Alignment = internal::traits<Coefficients>::Alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits<Quaternion<double> >::Alignment | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’ 273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> > | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet<double> T; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’ 178 | class Matrix | ^~~~~~ Data.h:25:21: required from here 25 | Eigen::MatrixXd x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’ 178 | class Matrix | ^~~~~~ Data.h:25:21: required from here 25 | Eigen::MatrixXd x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’ 178 | class Matrix | ^~~~~~ Data.h:26:21: required from here 26 | Eigen::VectorXd y; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ Data.h:51:45: required from here 51 | this->x_mean = Eigen::VectorXd::Zero(this->p); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ Data.h:74:24: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ Data.h:124:39: required from here 124 | return this->y.squaredNorm() / double(this->n); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Data.h:128:52: required from here 128 | return -2 * log(0.5) * this->weight.sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ Data.h:124:39: required from here 124 | return this->y.squaredNorm() / double(this->n); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Metric.cpp -o Metric.o In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25, from Data.h:9, from Metric.h:8, from Metric.cpp:5: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits<Packet4f> { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits<Packet2d> { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) { | ^ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \ | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’ 266 | Alignment = internal::traits<Coefficients>::Alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits<Quaternion<float> >::Alignment | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’ 273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> > | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’ 266 | Alignment = internal::traits<Coefficients>::Alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits<Quaternion<double> >::Alignment | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’ 273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> > | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet<double> T; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’ 178 | class Matrix | ^~~~~~ Data.h:25:21: required from here 25 | Eigen::MatrixXd x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’ 178 | class Matrix | ^~~~~~ Data.h:25:21: required from here 25 | Eigen::MatrixXd x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’ 178 | class Matrix | ^~~~~~ Data.h:26:21: required from here 26 | Eigen::VectorXd y; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ Data.h:51:45: required from here 51 | this->x_mean = Eigen::VectorXd::Zero(this->p); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ Data.h:74:24: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’ 178 | class Matrix | ^~~~~~ Algorithm.h:135:62: required from here 135 | train_x.row(i) = data.x.row(this->train_mask(i)).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ Algorithm.h:145:48: required from here 145 | Eigen::MatrixXd X_A = Eigen::MatrixXd::Zero(train_n, T0); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:248:55: required from here 248 | Eigen::VectorXd coef = Eigen::VectorXd::Ones(n) * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:248:55: required from here 248 | Eigen::VectorXd coef = Eigen::VectorXd::Ones(n) * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:249:37: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:249:51: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:249:51: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:249:58: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:249:62: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:250:33: required from here 250 | Eigen::VectorXd bd = beta + d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:251:21: required from here 251 | bd = bd.cwiseAbs(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:259:22: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:259:27: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ Algorithm.h:259:77: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:259:96: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:259:96: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:259:96: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:259:141: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:259:126: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ Algorithm.h:281:18: required from here 281 | X.rightCols(n - 1) = x.leftCols(n - 1); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:284:40: required from here 284 | Eigen::VectorXd log_Pi = Pi.array().log(); | ~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:284:46: required from here 284 | Eigen::VectorXd log_Pi = Pi.array().log(); | ~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:285:41: required from here 285 | Eigen::VectorXd log_1_Pi = (one - Pi).array().log(); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:285:50: required from here 285 | Eigen::VectorXd log_1_Pi = (one - Pi).array().log(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:285:56: required from here 285 | Eigen::VectorXd log_1_Pi = (one - Pi).array().log(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:286:39: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:286:72: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:286:81: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:287:42: required from here 287 | Eigen::VectorXd W = Pi.cwiseProduct(one - Pi); | ~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:288:61: required from here 288 | Eigen::VectorXd Z = X * beta0 + (y - Pi).cwiseQuotient(W); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:288:63: required from here 288 | Eigen::VectorXd Z = X * beta0 + (y - Pi).cwiseQuotient(W); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:294:36: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:294:72: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:294:51: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:399:44: required from here 399 | Eigen::VectorXd xbeta_exp = X * beta + coef; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:408:38: required from here 408 | xbeta_exp = xbeta_exp.array().exp(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:409:69: required from here 409 | Eigen::VectorXd pr = xbeta_exp.array() / (xbeta_exp + one).array(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:409:70: required from here 409 | Eigen::VectorXd pr = xbeta_exp.array() / (xbeta_exp + one).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:410:37: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Algorithm.h:411:16: required from here 411 | X = X.array().square(); | ~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:411:25: required from here 411 | X = X.array().square(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:412:83: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:413:42: required from here 413 | Eigen::VectorXd d = -l1.cwiseQuotient(l2); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:413:45: required from here 413 | Eigen::VectorXd d = -l1.cwiseQuotient(l2); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:414:29: required from here 414 | bd = (beta + d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:414:57: required from here 414 | bd = (beta + d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:414:44: required from here 414 | bd = (beta + d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ Algorithm.h:440:15: required from here 440 | beta0.tail(p) = beta; | ~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’ 223 | template<typename Derived> class MapBase<Derived, WriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ Algorithm.h:452:17: required from here 452 | temp.col(i) = X_trans.col(i) * expeta(i) * weights(i); | ~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:452:48: required from here 452 | temp.col(i) = X_trans.col(i) * expeta(i) * weights(i); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:452:61: required from here 452 | temp.col(i) = X_trans.col(i) * expeta(i) * weights(i); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:454:50: required from here 454 | z = eta + (y - expeta).cwiseQuotient(expeta); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:455:23: required from here 455 | beta0 = (temp * X).ldlt().solve(temp * z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:455:38: required from here 455 | beta0 = (temp * X).ldlt().solve(temp * z); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:465:40: required from here 465 | loglik1 = (y.cwiseProduct(eta) - expeta).dot(weights); | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:508:50: required from here 508 | bd = h.cwiseProduct((beta - g.cwiseQuotient(h)).cwiseAbs2()); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:508:62: required from here 508 | bd = h.cwiseProduct((beta - g.cwiseQuotient(h)).cwiseAbs2()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:508:24: required from here 508 | bd = h.cwiseProduct((beta - g.cwiseQuotient(h)).cwiseAbs2()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>’ 61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:561:51: required from here 561 | x_theta = X.array().colwise() * theta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:561:51: required from here 561 | x_theta = X.array().colwise() * theta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:563:61: required from here 563 | x_theta = x_theta.array().colwise() / cum_theta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:564:16: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:564:34: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:570:42: required from here 570 | xij_theta = (theta.cwiseProduct(X.col(k1))).cwiseProduct(X.col(k2)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:570:67: required from here 570 | xij_theta = (theta.cwiseProduct(X.col(k1))).cwiseProduct(X.col(k2)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:575:90: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:575:106: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:579:25: required from here 579 | d = h.ldlt().solve(g); | ~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:580:38: required from here 580 | beta1 = beta0 - pow(step, m) * d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:580:38: required from here 580 | beta1 = beta0 - pow(step, m) * d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:613:49: required from here 613 | theta = weights.array() * theta.array().exp(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:629:55: required from here 629 | xtheta.row(k) = xtheta.row(k + 1) + xtheta.row(k); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:637:50: required from here 637 | xtheta.col(k) = xtheta.col(k).cwiseQuotient(cum_theta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:643:63: required from here 643 | x2theta = x2theta.array() - xtheta.array().square().array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:644:39: required from here 644 | xtheta = X.array() - xtheta.array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:650:30: required from here 650 | l1 = -xtheta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:657:25: required from here 657 | bd = bd.cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:658:27: required from here 658 | bd = bd.array().square(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:683:60: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:683:72: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:683:101: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:683:144: required from here 683 | Eigen::VectorXd d = (X.adjoint() * (y - X * beta - coef) / double(n) - 2 * this->lambda_level * beta) / sqrt(1.0 + 2.0 * this->lambda_level); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:684:72: required from here 684 | Eigen::VectorXd bd = sqrt(1.0 + 2.0 * this->lambda_level) * beta + d; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:685:22: required from here 685 | bd = bd.cwiseAbs2(); | ~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:735:39: required from here 735 | beta1 = (2 * this->lambda_level * lambdamat + X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:735:71: required from here 735 | beta1 = (2 * this->lambda_level * lambdamat + X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:789:101: required from here 789 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)) + 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:791:147: required from here 791 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)) + 2 * this->lambda_level * Eigen::MatrixXd::Ones(p, 1); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:791:147: required from here 791 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)) + 2 * this->lambda_level * Eigen::MatrixXd::Ones(p, 1); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:836:60: required from here 836 | beta0 = (2 * this->lambda_level * lambdamat + temp * X).ldlt().solve(temp * z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:962:47: required from here 962 | x_theta.col(i) = X.col(i).cwiseProduct(expeta); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:972:97: required from here 972 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)) + 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:986:36: required from here 986 | h = h + this->lambda_level * lambdamat; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1074:65: required from here 1074 | l1 = -xtheta.adjoint() * weights + 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1075:91: required from here 1075 | l2 = x2theta.adjoint() * weights + 2 * this->lambda_level * Eigen::MatrixXd::Ones(p, 1); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:1116:83: required from here 1116 | betabar.segment(index(i), gsize(i)) = phiG * beta.segment(index(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1223:28: required from here 1223 | eta = X * beta + one * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1223:28: required from here 1223 | eta = X * beta + one * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1234:42: required from here 1234 | g = weights.array() * (y - pr).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1235:36: required from here 1235 | h = weights.array() * pr.array() * (one - pr).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1235:57: required from here 1235 | h = weights.array() * pr.array() * (one - pr).array(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1236:54: required from here 1236 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1246:126: required from here 1246 | Eigen::MatrixXd XGbar = XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> > >’ 50 | template<typename Derived> class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:316:34: required from ‘class Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, -1, -1> >’ 316 | template<typename Derived> class MatrixSquareRootReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:1248:17: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ Algorithm.h:1249:50: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1338:49: required from here 1338 | eta = X * beta + Eigen::VectorXd::Ones(n) * coef0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1348:58: required from here 1348 | XG_new.row(j) = XG.row(j) * expeta(j) * weights(j); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>’ 61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate | ^~~~~~~~~ Algorithm.h:1535:32: required from here 1535 | h = -cum_theta3.replicate(1, n); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Algorithm.h:1535:37: required from here 1535 | h = -cum_theta3.replicate(1, n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1536:25: required from here 1536 | h = h.cwiseProduct(theta.replicate(1, n)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ Algorithm.h:1537:57: required from here 1537 | h = h.cwiseProduct(theta.replicate(1, n).transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1537:25: required from here 1537 | h = h.cwiseProduct(theta.replicate(1, n).transpose()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ Algorithm.h:1545:17: required from here 1545 | h.diagonal() = cum_theta2.cwiseProduct(theta) + h.diagonal(); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1545:66: required from here 1545 | h.diagonal() = cum_theta2.cwiseProduct(theta) + h.diagonal(); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1546:66: required from here 1546 | g = weights.cwiseProduct(y) - cum_theta2.cwiseProduct(theta); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Algorithm.h:1551:54: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ Metric.h:147:63: required from here 147 | return (data.y - data.x * algorithm->get_beta()).array().square().sum() / (data.get_n()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Metric.h:147:72: required from here 147 | return (data.y - data.x * algorithm->get_beta()).array().square().sum() / (data.get_n()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:288:56: required from here 288 | ((data.y.array() * pr.array().log()) + (one - data.y).array() * (one - pr).array().log())) | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:288:109: required from here 288 | ((data.y.array() * pr.array().log()) + (one - data.y).array() * (one - pr).array().log())) | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:288:109: required from here 288 | ((data.y.array() * pr.array().log()) + (one - data.y).array() * (one - pr).array().log())) | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:288:110: required from here 288 | ((data.y.array() * pr.array().log()) + (one - data.y).array() * (one - pr).array().log())) | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ Algorithm.h:1122:61: required from here 1122 | bd(i) = (temp.segment(index(i), gsize(i))).squaredNorm() / gsize(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:286:87: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:465:51: required from here 465 | loglik1 = (y.cwiseProduct(eta) - expeta).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:500:22: required from here 500 | g(i) = -res.dot(X.col(i)); | ~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:575:112: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:24: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ Algorithm.h:1122:61: required from here 1122 | bd(i) = (temp.segment(index(i), gsize(i))).squaredNorm() / gsize(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Data.h:128:52: required from here 128 | return -2 * log(0.5) * this->weight.sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’ 56 | template<typename VectorType, int Size> class VectorBlock | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 352 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> > | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:500:22: required from here 500 | g(i) = -res.dot(X.col(i)); | ~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:1070:48: required from here 1070 | xtheta.row(k) = Eigen::VectorXd::Zero(p); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >’ 50 | template<typename Derived> class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >’ 339 | template<typename MatrixType> struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Metric.h:147:78: required from here 147 | return (data.y - data.x * algorithm->get_beta()).array().square().sum() / (data.get_n()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:179:48: required from here 179 | algorithm->update_beta_init(this->cv_initial_model_param.row(k)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Metric.h:289:29: required from here 287 | return -2 * (data.weight.array() * | ~~~~~~~~~~~~~~~~~~~~~~ 288 | ((data.y.array() * pr.array().log()) + (one - data.y).array() * (one - pr).array().log())) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | .sum(); | ~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ Data.h:124:39: required from here 124 | return this->y.squaredNorm() / double(this->n); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 45 | VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1); | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 127 | Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols()); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 128 | Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols()); | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’ 39 | template<typename Derived> class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]’ 145 | return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator<ArrayWrapper<TArgType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator<ArrayWrapper<TArgType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ Algorithm.h:1122:61: required from here 1122 | bd(i) = (temp.segment(index(i), gsize(i))).squaredNorm() / gsize(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 3, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:25:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 25 | Matrix<Scalar,2,2> block = T.template block<2,2>(i,i); | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:25:51: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 25 | Matrix<Scalar,2,2> block = T.template block<2,2>(i,i); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 1>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:229:22: required from ‘class Eigen::RealSchur<Eigen::Matrix<double, 2, 2> >’ 229 | ColumnVectorType m_workspaceVector; | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver<Eigen::Matrix<double, 2, 2> >’ 316 | RealSchur<MatrixType> m_realSchur; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:27:28: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 27 | sqrtT.template block<2,2>(i,i) | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:105: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:40: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:60:49: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 60 | Matrix<Scalar,2,1> rhs = T.template block<2,1>(i,j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:73: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 63 | Matrix<Scalar,2,2> A = sqrtT.coeff(j,j) * Matrix<Scalar,2,2>::Identity(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 63 | Matrix<Scalar,2,2> A = sqrtT.coeff(j,j) * Matrix<Scalar,2,2>::Identity(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 63 | Matrix<Scalar,2,2> A = sqrtT.coeff(j,j) * Matrix<Scalar,2,2>::Identity(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:28: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:55: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:47:49: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 47 | Matrix<Scalar,1,2> rhs = T.template block<1,2>(i,j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:51:48: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 51 | A += sqrtT.template block<2,2>(j,j).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:28: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:81: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:67: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:49: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 38 | Scalar tmp = (sqrtT.row(i).segment(i+1,j-i-1) * sqrtT.col(j).segment(i+1,j-i-1)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Data.h:74:67: required from here 74 | this->x.row(i) = this->x.row(i) * sqrt(this->weight(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:286:87: required from here 286 | double loglik0 = (y.cwiseProduct(log_Pi) + (one - y).cwiseProduct(log_1_Pi)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:337:24: required from here 337 | X.rightCols(p) = x; | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:465:51: required from here 465 | loglik1 = (y.cwiseProduct(eta) - expeta).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:500:22: required from here 500 | g(i) = -res.dot(X.col(i)); | ~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ Algorithm.h:575:112: required from here 575 | h(k1, k2) = -(xij_theta.cwiseQuotient(cum_theta) - x_theta.col(k1).cwiseProduct(x_theta.col(k2))).dot(weights.cwiseProduct(status)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, 2, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:23: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 73 | Matrix<Scalar,4,4> coeffMatrix = Matrix<Scalar,4,4>::Zero(); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 73 | Matrix<Scalar,4,4> coeffMatrix = Matrix<Scalar,4,4>::Zero(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1>, Eigen::Dense>’ 86 | class SolveImpl<Decomposition,RhsType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> >’ 62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind> | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:41: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]’ 94 | result = coeffMatrix.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’ 501 | return maxCoeff<PropagateFast>(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 501 | return maxCoeff<PropagateFast>(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’ 178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 2, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:455:47: required from here 455 | beta0 = (temp * X).ldlt().solve(temp * z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:579:27: required from here 579 | d = h.ldlt().solve(g); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >’ 50 | template<typename Derived> class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >’ 339 | template<typename MatrixType> struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = std::complex<double>]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:23: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’ 466 | return maxCoeff<PropagateFast>(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 511 | RealScalar threshold_helper = numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 269 | return internal::lpNorm_selector<Derived, p>::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’ 466 | return maxCoeff<PropagateFast>(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:54: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 2>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:281:10: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 281 | m_matT *= scale; | ~~~~~~~^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 525 | m_matT.col(n).tail(size-i) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 2, 2>]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit, | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 2, 2>; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:28: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 2, false>; Derived = Eigen::Matrix<double, 2, 2>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:64:5: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 64 | A += sqrtT.template block<2,2>(i,i); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:89: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 38 | Scalar tmp = (sqrtT.row(i).segment(i+1,j-i-1) * sqrtT.col(j).segment(i+1,j-i-1)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:89: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 38 | Scalar tmp = (sqrtT.row(i).segment(i+1,j-i-1) * sqrtT.col(j).segment(i+1,j-i-1)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’ 94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 2, false>; Derived = Eigen::Matrix<double, 2, 2>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:25:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 25 | Matrix<Scalar,2,2> block = T.template block<2,2>(i,i); | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; MatrixType = Eigen::Matrix<double, 2, 2>; CoeffVectorType = Eigen::Matrix<double, 1, 1, 0, 1, 1>; VectorType = Eigen::Matrix<double, 1, 2>]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]’ 559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:60:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 60 | Matrix<Scalar,2,1> rhs = T.template block<2,1>(i,j); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, 2, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, 2>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, 2, false>; Derived = Eigen::Matrix<double, 1, 2>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:47:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 47 | Matrix<Scalar,1,2> rhs = T.template block<1,2>(i,j); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket<RhsPacket> RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket<RhsPacket> RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket<RhsPacket> RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’ 94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’ 94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:442:31: required from here 442 | Eigen::VectorXd eta = X * beta0; | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >, Eigen::internal::IndexBased, std::complex<double> >’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >; Functor = assign_op<std::complex<double>, std::complex<double> >]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >; Functor = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:23: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 6]’ 100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’ 181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’ 522 | { return solveInPlace<OnTheLeft>(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1249:96: required from here 1249 | Eigen::MatrixXd invphiG = phiG.ldlt().solve(Eigen::MatrixXd::Identity(gsize(i), gsize(i))); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock<HalfPacket> kernel_half; | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock<QuarterPacket> kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:1116:83: required from here 1116 | betabar.segment(index(i), gsize(i)) = phiG * beta.segment(index(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, -1, 4, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:47: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’ 478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:410:72: required from here 410 | Eigen::VectorXd l1 = -X.adjoint() * ((y - pr).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>]’ 148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:412:92: required from here 412 | Eigen::VectorXd l2 = (X.adjoint()) * ((pr.cwiseProduct(one - pr)).cwiseProduct(weights)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:650:30: required from here 650 | l1 = -xtheta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:652:30: required from here 652 | l2 = x2theta.adjoint() * weights; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit, | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, 2, 2>; Workspace = Eigen::Matrix<double, 2, 1>; VectorsType = Eigen::Matrix<double, 2, 2>; CoeffsType = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 2, 2>; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval<Rhs,1>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval<Lhs,1>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix<Scalar, Index, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | Mode, LhsIsTriangular, | ~~~~~~~~~~~~~~~~~~~~~~ 440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix<Scalar, Index, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | Mode, LhsIsTriangular, | ~~~~~~~~~~~~~~~~~~~~~~ 440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Functor = swap_assign_op<double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Func = swap_assign_op<double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:547:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Functor = swap_assign_op<double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Func = swap_assign_op<double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:551:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Functor = div_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Func = div_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, 4, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 1>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 1>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:762:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’ 152 | class ProductImpl<Lhs,Rhs,Option,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:259:142: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]’ 71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:294:73: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’ 172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’ 103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block | ^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Functor = add_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Func = add_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Functor = sub_assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Func = sub_assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:249:75: required from here 249 | Eigen::VectorXd d = (X.transpose() * (y - X * beta - coef)) / double(n); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’ 412 | return typename internal::eval<Derived>::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:47: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ~~~~^~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’ 84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 669 | return ColPivHouseholderQR<PlainObject>(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:259:118: required from here 259 | beta = (X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols())).colPivHouseholderQr().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:506:12: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 506 | m_matrix = a.derived(); | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ 683 | return LDLT<PlainObject>(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:294:43: required from here 294 | beta1 = (X_new.transpose() * X).ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:562:23: required from here 562 | x_theta = one * x_theta; | ^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Scalar = double]’ 385 | internal::gemv_dense_selector<Side, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1<T>(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type<Src>::type tmp(src); | ^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ Algorithm.h:564:68: required from here 564 | g = (X - x_theta).transpose() * (weights.cwiseProduct(status)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator<const T> | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’ 302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’ 555 | class DenseCoeffsBase<Derived, DirectWriteAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’ 63 | template<typename MatrixType, int _DiagIndex> class Diagonal | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 263 | const RealSchur<PlainType> schurOfA(arg); | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:26:36: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 26 | EigenSolver<Matrix<Scalar,2,2> > es(block); | ^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:7: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 111 | C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested; | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >’ 29 | struct evaluator<Product<Lhs, Rhs, Options> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>; Functor = sub_assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:34: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator<T> | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’ 1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false> >’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:46: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix<double, -1, -1>; ResultType = Matrix<double, -1, -1>]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment, | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs; | ^~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 1, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<RhsScalar, LhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 40 | general_matrix_matrix_product<Index, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | RhsScalar, RhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateRhs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | LhsScalar, LhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateLhs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | ColMajor,ResInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~ 44 | ::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking,info); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’ 341 | internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ Algorithm.h:1248:26: required from here 1248 | XGbar.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits<Packet>::half HalfPacket; | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size, | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size}; | ^~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’ 52 | template<typename MatrixType> class Transpose | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 41 | template<typename Derived> class DenseBase | ^~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’ 48 | template<typename Derived> class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr<conj_prod>(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>]’ 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Algorithm.h:1551:128: required from here 1551 | Eigen::MatrixXd XGbar = XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(gsize(i), gsize(i)); | ^ /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >